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@tongjohn
Data scientist specializing in predictive modeling, time series forecasting, and deployable ML solutions.
I am a data scientist focused on predictive modeling, time-series forecasting, and deployable machine-learning solutions.
I have built and deployed models across domains: a car price prediction model with a 97.79% R-score and $6,487 RMSE, a Prophet-based Rossman store forecast trained on over one million records, and a loan approval model with an F1 of 0.82 and ROC-AUC of 0.75.
I routinely build end-to-end pipelines including data cleaning, feature engineering, model tuning and deployment using Streamlit and Docker, and I leverage tools such as Python, TensorFlow, scikit-learn, XGBoost, Prophet, LightGBM and Google Looker Studio to deliver production-ready results.
I am completing a Bachelors of Statistics at Makerere University and I seek opportunities where I can apply forecasting and predictive analytics to solve business problems while continuing to learn and deliver measurable impact.
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Work history, roles, and key accomplishments
Makerere University
Aug 2022 - Present (3 years 3 months)
Pursuing a Bachelor of Statistics since 2022-08, with hands-on projects including sales forecasting on 1M+ records using Prophet and a car price XGBoost model achieving 97.79% R-score.
Degrees, certifications, and relevant coursework
Bachelor of Statistics, Statistics
2022 -
Pursuing a Bachelor of Statistics at Makerere University since August 2022.
Software and tools used professionally
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